TensorFlow如何在Python中操作张量图
2018-10-17 17:22 更新
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#http://www.apache.org/licenses/LICENSE-2.0
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# =============================================== =============================
"" 操纵 python 中的张量图的帮助器.""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=unused-import
from tensorflow.python.framework.graph_util_impl import convert_variables_to_constants
from tensorflow.python.framework.graph_util_impl import extract_sub_graph
from tensorflow.python.framework.graph_util_impl import must_run_on_cpu
from tensorflow.python.framework.graph_util_impl import remove_training_nodes
from tensorflow.python.framework.graph_util_impl import tensor_shape_from_node_def_name
# pylint: enable=unused-import
from tensorflow.python.util.all_util import remove_undocumented
_allowed_symbols = [
# TODO(drpng): find a good place to reference this.
"convert_variables_to_constants",
"extract_sub_graph",
"must_run_on_cpu",
"tensor_shape_from_node_def_name",
"remove_training_nodes",
]
remove_undocumented(__name__, _allowed_symbols)
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